Parameters

Parameter Value
Hashtag #rdaplenary
Conference RDA 13 Plenary
Time Zone Australia/Melbourne
Days c(“2019-04-01”, “2019-04-02”, “2019-04-03”, “2019-04-04”)
Accent colour skyblue3
Pallete Set1
Topics k 6
Fixed FALSE

1 Introduction

An analysis of tweets from the RDA 13 Plenary conference. A total of 1914 tweets from 388 users were collected using the rtweet R package. Code comes from Luke Zappia

2 Timeline

2.1 Tweets by day

2.2 Tweets by day and time

Filtered for dates 2019-04-01 - 2019-04-04 in the Australia/Melbourne timezone.

3 Users

3.1 Top tweeters

3.2 Top original tweeters

3.3 Retweet proportion

3.4 Top tweeters by time

3.5 Top tweeters by day

3.5.1 All tweets

Day 1

Day 2

Day 3

Day 4

3.5.2 Original tweets

Day 1

Day 2

Day 3

Day 4

3.6 Sources

4 Networks

4.1 Replies

The “replies network”, composed from users who reply directly to one another, coloured by page rank.

4.2 Mentions

The “mentions network”, where users mention other users in their tweets. Node colour, label size and alpha adjusted according to PageRank score.

5 Retweets

5.1 Retweet proportion

5.2 Retweet count

5.3 Top retweets

screen_name text retweet_count
RDA_Europe Meet the @RDA_Europe ECR & Expert grant winners joining the #RDAPlenary13 meeting in Philadelphia, US, this week of 2-4 April 2019. Stay tuned on the #RDAPlenary. For now, read this:https://t.co/doe4ZH9zxc. Inspire & share your ideas @RDA #CascadingGrants: https://t.co/fEwZpEdGNX https://t.co/taLV9BKtt1 15
resdatall

Stay tuned as today is the official start of the 13th #RDAPlenary. Data professionals, researchers, industry leaders, entrepreneurs & policymakers from all disciplines & geographies will reconvene from April 2-4, in Philadelphia, US.

Check the programme👉https://t.co/5viSi8ykVU https://t.co/Wg1yAkaXCh
13
natalieharrower Algorithms are deeply vulnerable to bias - we need transparency, regulation, and civic engagement for responsible data science. Keynote by @stoyanoj reminds us why @resdatall’s goals of data sharing (and all the steps to get us there) are deeply important for society #RDAPlenary 13
scbegonias First place poster! #datawarriors @resdatall & @wholetale Fellow Christina Oré Giron engaged the #rdaplenary #rdaplenary13 on Indigenous efforts to #IDSov #IDGov #decolonizedata Good Data - Good Heart: Computational research and US tribal governance @USIDSN @MaoriDSov @IDSovOZ https://t.co/tcLHibjRGO 12
enigmaticocean What is the impact of RDA outputs? Watch the new video, read RDA adoption stories, submit your own story and take the poll! https://t.co/tlKXdrKVpB #RDAplenary participants, join the Business and Outputs session at 4pm today to hear more… @resdatall https://t.co/k8k4qGmt4A 11
iainh_z Huge volume of researcher survey data - >11,000 respondents - announced today with new analysis and insight, including excellent foreword from @grace_baynes #RDAplenary https://t.co/bJ6rsxf97H 11
SuperChristineK There’s a wealth of existing training materials in research data, data training: https://t.co/NWQJ3cWfeK , https://t.co/XTkuUhS7Hs , https://t.co/NDelen7xTU @resdatall #RDAPlenary https://t.co/5qJF0SW3kh 11
sjDCC Great overview to all the work done by DMP Common Standards WG, going from requirements gathered at IDCC https://t.co/Bg6mS8V1Gw liaison with DMP tool providers and developing use cases to formulate the model https://t.co/SMcuhtjxVR #RDAplenary 10
resdatall @LynnYarmey opening the RDA plenary 13 in #Philadelphia Curious about the audience composition? Watch this short video #rdaplenary https://t.co/FRAMDpeGxl 10
resdatall Wondering what RDA outputs might be useful for you? Watch a preview of the recording of the talk of @ajuehne on RDA outputs that will be soon available on the RDA website https://t.co/r1SI7eYkA1 #rdaplenary https://t.co/qP6OYmb8Dd 10

6 Favourites

6.1 Favourite proportion

6.2 Favourite count

6.3 Top favourites

screen_name text favorite_count
scbegonias First place poster! #datawarriors @resdatall & @wholetale Fellow Christina Oré Giron engaged the #rdaplenary #rdaplenary13 on Indigenous efforts to #IDSov #IDGov #decolonizedata Good Data - Good Heart: Computational research and US tribal governance @USIDSN @MaoriDSov @IDSovOZ https://t.co/tcLHibjRGO 35
shlakeuva Who’s wonderful #RDAplenary poster is this? https://t.co/Z5Edv4cqwQ 30
RosieHLib Sad to be missing catching up with friends at #RDAplenary and #CollabW19 but I think I’m going to have a pretty good week. I managed to keep our destination secret until we got to the gate, so there is some rapid planning going on! https://t.co/UUbMNmqSrQ 30
gregory_km Good timing. On the day when I am showing my poster on data search practices at #RDAPlenary #RDAPlenary13, my paper in the Journal of Information Science was published online: https://t.co/R43hNoVfVD 29
makedatacount Thank you to those who are as excited by data usage as we are to fill this packed room for our #RDAplenary data usage metrics WG meeting! https://t.co/2E4YKUnD4I 28
SuperChristineK There’s a wealth of existing training materials in research data, data training: https://t.co/NWQJ3cWfeK , https://t.co/XTkuUhS7Hs , https://t.co/NDelen7xTU @resdatall #RDAPlenary https://t.co/5qJF0SW3kh 25
sjDCC Great overview to all the work done by DMP Common Standards WG, going from requirements gathered at IDCC https://t.co/Bg6mS8V1Gw liaison with DMP tool providers and developing use cases to formulate the model https://t.co/SMcuhtjxVR #RDAplenary 24
TomOrrell86 Very happy to be representing @Data4SDGs and speaking to our interop work here at the #RDAPlenary this morning in Philadelphia. Thanks for the invite @resdatall https://t.co/MKK0fq4XzI 24
SandriCollins Fabulous views over Philadelphia from the 33rd floor on the eve of #RDAplenary @resdatall - looking forward to talking about all things data-sharing tomorrow! https://t.co/opXc7S73of 23
jrcarlso Looking at data management at institutions is quite complex as the institution is not just one unified entity. Different units have different perspectives, values and investments. Just recognizing and understanding each other will take work. #RDAPlenary 20

7 Quotes

7.1 Quote proportion

7.2 Quote count

7.3 Top quotes

screen_name text quote_count
jungvari There are a number of us @AAAS_STPF fellows in the crowd attending #RDAPlenary in Philadelphia, PA this week. https://t.co/GdkiQrDLcd 5
LIBEReurope Good luck for a productive meeting! Happy to say that many in the LIBER network are at the #RDAPlenary, including Executive Director @AstridVerheusen (presenting on @SSHOpenCloud) and @bschmid1 of our #RDM Working Group. https://t.co/9o517giMAZ 5
MovebankTeam At the Research Data Alliance plenary this week, looking for great ideas for #Movebank and bio-logging from this amazing group of data nerds! #RDAplenary @biologging @resdatall https://t.co/iNme0qxxk1 5
zhao_shirley Watching from the sidelines. Thanks to all who are tweeting 👍 #RDAPlenary #datalibs https://t.co/Oatcef7Sob 5
fieldworker Looking forward to hearing from our project team how the presentation goes at the #RDAPlenary https://t.co/LS4uB5F8na 5
evamen Lovely!! Roll your sleeves up!!! And welcome to our favorite play-ground #RDAPlenary to make #researData part of #OpenScience https://t.co/u39a5d22bH 3
hilaryhanahoe Many thanks Natalie too kind. I am the lucky one to represent such a great movement of doers. Looking forward to a great #RDAplenary https://t.co/VB3x35JkQ1 3
Belmont_Forum Our colleague @jungvari is at the #RDAPlenary in Philadelphia this week to engage on #opendata and #openaccess, #datamanagement #training and best practices, and #FAIRdata principles. Find her at a session break! https://t.co/PKUiZMdYIw 3
LynnYarmey Such an important path to plan for, set expectations, identify the right expertise! Thanks @edzale for the great comments! #RDAplenary https://t.co/Aq8KwFyJR0 3
asclnet Yes; this is so often the case. Change management and leadership disciplines offer some useful techniques for moving a community to better practices and new habits. #rdaplenary https://t.co/hShSzHAdMv 3

8 Media

8.1 Media count

8.2 Top media

screen_name text favorite_count
scbegonias First place poster! #datawarriors @resdatall & @wholetale Fellow Christina Oré Giron engaged the #rdaplenary #rdaplenary13 on Indigenous efforts to #IDSov #IDGov #decolonizedata Good Data - Good Heart: Computational research and US tribal governance @USIDSN @MaoriDSov @IDSovOZ https://t.co/tcLHibjRGO 35
shlakeuva Who’s wonderful #RDAplenary poster is this? https://t.co/Z5Edv4cqwQ 30
RosieHLib Sad to be missing catching up with friends at #RDAplenary and #CollabW19 but I think I’m going to have a pretty good week. I managed to keep our destination secret until we got to the gate, so there is some rapid planning going on! https://t.co/UUbMNmqSrQ 30
makedatacount Thank you to those who are as excited by data usage as we are to fill this packed room for our #RDAplenary data usage metrics WG meeting! https://t.co/2E4YKUnD4I 28
SuperChristineK There’s a wealth of existing training materials in research data, data training: https://t.co/NWQJ3cWfeK , https://t.co/XTkuUhS7Hs , https://t.co/NDelen7xTU @resdatall #RDAPlenary https://t.co/5qJF0SW3kh 25
TomOrrell86 Very happy to be representing @Data4SDGs and speaking to our interop work here at the #RDAPlenary this morning in Philadelphia. Thanks for the invite @resdatall https://t.co/MKK0fq4XzI 24
SandriCollins Fabulous views over Philadelphia from the 33rd floor on the eve of #RDAplenary @resdatall - looking forward to talking about all things data-sharing tomorrow! https://t.co/opXc7S73of 23
Timea_B One of the best #RDAplenary poster sessions. Join us! The @RDA_Europe #EarlyCareer would love to talk to you about their work https://t.co/Z9SK1WkD3H 20
SuperChristineK You can’t get this part of the #RDAPlenary through remote attendance: @ANurnberger ‘s infectious effervescence and the profile of @simonhodson99 ‘s pocket square. CODATA/RDA Research Data Science Schools for Low and Middle Income Countries IG #iloveRDA #@resdatall https://t.co/EtzxaBx3f3 20
RDA_Europe Meet the @RDA_Europe ECR & Expert grant winners joining the #RDAPlenary13 meeting in Philadelphia, US, this week of 2-4 April 2019. Stay tuned on the #RDAPlenary. For now, read this:https://t.co/doe4ZH9zxc. Inspire & share your ideas @RDA #CascadingGrants: https://t.co/fEwZpEdGNX https://t.co/taLV9BKtt1 20

8.2.1 Most liked media images

scbegonias shlakeuva RosieHLib makedatacount SuperChristineK

9 Tweet text

9.1 Word cloud

The top 100 words used 3 or more times.

9.2 Bigram graph

Words that were tweeted next to each other at least 5 times.

9.3 Topic modelling

Top 10 words associated with 6 topics identified by LDA.

9.3.1 Representative tweets

Most representative tweets for each topic

Topic 1

topic screen_name text gamma
1 dnvln

I love some solid term-bashing.

Un-FAIR <> Re-useless Standard <> Guiding principle Open <> Accessible under well defined conditions AI <> Machine learning Management <> Stewardship Sharing <> Visiting

Terminology and phrasing to be considered when talking #FAIR

#RDAplenary
0.9952012
1 asclnet It was a pleasure to meet Hyoungjoo Park today at #rdaplenary. I read her paper “Research software citation in the Data Citation Index: Current practices and implications for research software sharing and reuse” (https://t.co/ILjYA37fWd) just last week. So happy we got to talk! 0.9925132
1 vtenhunen The Research Data Architectures in Research Institutions IG on next #RDAPlenary breakout session include Rossella Aversa’s interesting case statement and governance survey workgroups. Location: 4th floor, Congress B. Starting 16:30. More: https://t.co/tH36RepWPZ 0.9918072
1 SuperChristineK You can’t get this part of the #RDAPlenary through remote attendance: @ANurnberger ‘s infectious effervescence and the profile of @simonhodson99 ‘s pocket square. CODATA/RDA Research Data Science Schools for Low and Middle Income Countries IG #iloveRDA #@resdatall https://t.co/EtzxaBx3f3 0.9918072
1 resdatall

Stay tuned as today is the official start of the 13th #RDAPlenary. Data professionals, researchers, industry leaders, entrepreneurs & policymakers from all disciplines & geographies will reconvene from April 2-4, in Philadelphia, US.

Check the programme👉https://t.co/5viSi8ykVU https://t.co/Wg1yAkaXCh
0.9918072
1 anavangulick #RDAPlenary Just as important: Data transparency! Data is used in training, validating, deploying models. Not solved just by sharing all data, must have privacy, transparency by design, addressing biases in collection, processing methods, and provenance. #opendata 0.9914017
1 sjDCC Thanks to everyone for their participation in the Global Open Science Commons session earlier. See (and add to!) shared notes at: https://t.co/QdPsP3LmZa Please also feedback on plans and volunteer to get involved #RDAplenary #openscience #EOSC #AOSP #ARDC #NIH 0.9904573
1 Timea_B When we are talking about data for sustainable development @TomOrrell86 explains that there is a need to clarify what interoperability means, understand how SDGs are and should be prioritised and how data is to be best used considering the legal and social dimensions #RDAplenary https://t.co/jps1l38za4 0.9892798
1 dri_ireland DRI is at the @resdatall Research Data Alliance Plenary this week, so there will be lots of tweets on data sharing and reuse using the hashtag #RDAPlenary. For more information on RDA and how to get involved, see https://t.co/EaZcrXFX9k or ask @natalieharrower or @Timea_B 0.9892798
1 phoebe_ayers Need to make transparency part of your entire release - explaining limits, where data came from, what the code is supposed to do, etc. Just making code or data open is not enough. Cf responsibility by design project. (Now, how to teach & operationalize this). #RDAPlenary 0.9892798

Topic 2

topic screen_name text gamma
2 enigmaticocean Digging into crunchy #LOD issues at the #RDAplenary Heritage Science Research Data Challenges of LOD Authoritative Sources BoF. @librarycongress examples include air sampling data from musical instrument storage facilities https://t.co/BQT61fKuS7 0.9928224
2 scbegonias First place poster! #datawarriors @resdatall & @wholetale Fellow Christina Oré Giron engaged the #rdaplenary #rdaplenary13 on Indigenous efforts to #IDSov #IDGov #decolonizedata Good Data - Good Heart: Computational research and US tribal governance @USIDSN @MaoriDSov @IDSovOZ https://t.co/tcLHibjRGO 0.9925132
2 RDA_Europe Meet the @RDA_Europe ECR & Expert grant winners joining the #RDAPlenary13 meeting in Philadelphia, US, this week of 2-4 April 2019. Stay tuned on the #RDAPlenary. For now, read this:https://t.co/doe4ZH9zxc. Inspire & share your ideas @RDA #CascadingGrants: https://t.co/fEwZpEdGNX https://t.co/taLV9BKtt1 0.9925132
2 Repositorian Perhaps the work of Journal Data Policies IG could be taken up at @C0PE since data policies == extension of editorial policies & publicatn ethics. strong endorsement of the need for standardized data policies could incentivize publishers to adopt IGs rec policies! #RDAPlenary 0.9925132
2 JulianeS In the Reproducible Health Data WG. Think about how profoundly one unreproducible study impacted the way we talk about autism and vaccinations. It caused a massive cultural shift far outside medicine/research. Reproducibility is crucial to good, trustworthy science #RDAPlenary 0.9918072
2 scbegonias @resdatall and @wholetale Fellow Christina Ore engaged the #RDAPlenary13 #rdaplenary on Indigenous efforts to #IDSov #IDGov #decolonizedata Good Data - Good Heart: Computational research and US tribal governance @USIDSN @MaoriDSov @IDSovOZ https://t.co/MxSaRkmvYA 0.9914017
2 vtenhunen George Strawn in the Data Fabric IG: “We must automate activities that currently require much manual intervention”. I agree. It seems that automation and AI will be the possibility and challenge for research data community today and near future. #RDAPlenary https://t.co/HGE0iMtnXL 0.9914017
2 asmi_ari Julia Stoyanovich #RDAPlenary: need of having explicitly choices of fairness to groups and individuals on #datascience applications. #Algorithmictransparency: not codes, but data selection strategy, handling and implicit/explicit choices, keeping interpretability to humans. 0.9914017
2 SusannaASansone Good morning #Philadelphia - fixing my @FAIRsharing_org #FAIRdata slides for tomorrow’s presentation at @codata #metadata event prior @resdatall #RDAplenary - just minted a new tag #LoveFAIRdata inspired by the #LoveRunPhilly event ongoing now! https://t.co/hQK63aUz8y 0.9909541
2 n_simons Those who attended the data policy standardisation & implementation IG session with @iainh_z and I yesterday may be interested to read: Implementing publisher policies that inform, support and encourage authors to share data https://t.co/M3hz0oME4f #rdaplenary 0.9909541

Topic 3

topic screen_name text gamma
3 asclnet HA! Here’s what’s on the summary slide: Facilitate machine-actionabitlity Non-authoritatve metadata source Stored directly at resolver Controlled change Infrequent change without human interaction Simple values (1NF) Proof for future migration (2ND & 3NF) #rdaplenary 0.9933702
3 asclnet Attributes (items) in profile are expressed as key-value pairs where values are simple (indivisible)(first normal form) Any profile should follow 2nd & 3rd normal form. May reduce migration issues if records need to be migrated to revised profile in the future. #rdaplenary 0.9931072
3 iGenomics John Westbrook will present on behalf of PDB (Protein Data Bank) PDB Founded 1971 with 7 X-ray structures. Today has >150K structures. 210 New drugs approved 2010-16 with a target in PDB. > $100b of funding of NIH contributed to those approvals to those targets (95%) #RDAPlenary 0.9931072
3 SuperChristineK My SIO colleague, Steve Diggs, describes the Data for Black Lives community and its aims: enabling access to data to decrease those disadvantaged by not having access to data such as sea rise data in vulnerable coastal communities. @resdatall #RDAPlenary https://t.co/dTRvYy8E6y https://t.co/GHKrrupNLy 0.9931072
3 dnvln maDMPs said out loud is a funny word. But machine actionable DMPs as a project is super cool — creating a container for event data and relational metadata that’s automated will provide a ton of context to published research data #RDAplenary 0.9928224
3 enigmaticocean Engaging Researchers with Research Data project update by Andrea Medina-Smith & @rg_noise (many other contributors; project lead @martateperek). Aiming for full report at P14. Survey is still open! https://t.co/Pmpqlu82KL #RDAplenary #L4RD 0.9914017
3 SSHRC_CRSH Hello Canadians at @resdatall Plenary in Philly – The next intake for SSHRC’s Data Management Capacity Building initiative, offered through the Connection Grants funding opportunity, is May 1! For more info: https://t.co/IJoZXhav4E #RDAPlenary #BigData #cdnpse 0.9909541
3 asclnet Once more, this time with hashtag: (Lots of resources about licensing and choosing a license here: https://t.co/XiCZL8pEfr If you read nothing else, read @jakevdp’s excellenthttp://www.astrobetter.com/the-whys-and-hows-of-licensing-scientific-code/) #rdaplenary 0.9904573
3 JulianeS #RDAPlenary day 3: green tea acquired, keyboard no longer sticky, #L4RD session won everything, @Loews_Hotels Philly kicks ass. am now in the One Session That Rules Them All aka metadata. 0.9899028
3 SuperChristineK “What we don’t do [with data and ML], but should:” check population representation, sensitive attributes and can they be inferred, outcomes for minorities. Ethics and Social Aspects of Data IG #RDAPlenary @resdatall https://t.co/CDRdMx2gYj 0.9899028

Topic 4

topic screen_name text gamma
4 asclnet … redlining in Philadelphia, women not being shown ads for high-paid jobs on Google shown to men, Google searches triggering ads for arrest records for racially identifying names, racial bias in criminal sentencing in commercial tool used by judges (COMPAS)… #RDAPlenary 0.9933702
4 resdatall Ingrid Dillo @DANSKNAW highlighting the hot topics under discussion in the RDA Council: revised structure of plenaries; future sustainability of RDA ( regional engagement); revised membership model #rdaplenary .. and finally… vote the new council members https://t.co/axoLXOaeBg https://t.co/kU6ZHchh2W 0.9931072
4 iGenomics The benefits PDB got from @CoreTRUSTSeal certification: Uncovers implicit knowledge of process that many lack proper document, id systemic weakness and potential areas for improvement, to explore other disciplines are addressing similar DM, benchmark the resource. #RDAPlenary 0.9925132
4 asclnet PID Kernel Information: Recommendation and Outlook #rdaplenary Scalability challenge: plethora of objects & PIDs for them; more obj-to-obj relationships than for articles; more complex footprint of these new types of obis, and difference from past: heavy machine orientation 0.9925132
4 asclnet COMPAS s/w failed to correctly predict risk of re-offending, biased along racial lines. This and the other examples show bias in predictive analytics. Need to be careful to distinguish between statistical bias in the model and societal bias in the data. #RDAPlenary 0.9918072
4 natalieharrower Great to hear that RDA members from Canada, Costa Rica and the US are discussing a @resdatall North American region. And discussing what North America is at the same time! Let me know when you figure it out. @mleggott #RDAplenary (tweet from yesterday stuck in drafts folder) https://t.co/VmxggzrGw8 0.9918072
4 parnopaeus This report shared by @stoyanoj at #rdaplenary about the AI job recruiting tool that taught itself that male candidates were preferable is horrifying, like something out of dystopian sci-fi. AI is not leveling; it reproduces social construction. https://t.co/GASFyuSBiH 0.9918072
4 asclnet Lot of info can be put in PID record, but what is wise choice? This WG looks for most essential info: the kernel info, which is organized through profiles. WG id’d core guiding principles which are valid independent from a particular technology. #rdaplenary 0.9918072
4 dnvln

The early success[es] of the internet was down to…

  1. minimal standards
  2. voluntary participation
  3. critical mass
  4. rough consensus and running code
Lessons learned, asks @barendmons? Critical mass is cool, but you need conversion. #FAIR3DM #RDAplenary
0.9914017
4 JeSLIBJournal April Author of the Month: In honor of @resdatall #RDAPlenary13 happening this week @DrexelUniv, we highlight Lisa Johnston (@ifylawwt) who leads a three-year, multi-institutional effort to launch the #DataCurationNetwork. Be sure to find her & other #DCN members at #RDAPlenary! https://t.co/A3Y455bLHY 0.9914017

Topic 5

topic screen_name text gamma
5 Repositorian IG RDA/CODATA Legal Interoperability - This morning we’re talking licensing best practices for Research Compendia eg @ProjectJupyter notebooks, @Rstudio R Projects, Whole Tale, @CodeOcean compute capsules at #RDAPlenary Meeting | RDA https://t.co/bv7qeHlAY7 0.9925132
5 iGenomics Certification challenges from PDB’s perspectives: requires expertise in data science & engineering as well as in the target domain. the long time horizon of some CTS objectives are difficult to support 3-5 yrs competitive funding cycles in the US. #RDAPlenary #RDAPlenary13 0.9921761
5 sjDCC Great example of @resdatall impact shared by @RobQuick5 in INoN meeting. The data science schools showed a Colombian student the Open Science Grid. He got access to a 2000 node cluster and has produced 6 papers as a result. #sharing #skills #LMIC #cyberinfrastructure #RDAplenary 0.9921761
5 Repositorian @l_peer @C0PE Yes, seems likely given the growth in genres of research outputs gaining first class status in aid of replicability and transparency. Code, methods, research compendia (Jupyter notebooks, Rprojects, Capsules, etc) finding their way into the Scholarly record. #RDAPlenary 0.9921761
5 CSCfi RDA:n 14. yleiskokouksen teemaksi on valittu ”Data Makes the Difference”. Käy lukemassa, mistä Suomessa keskustellaan 23.–25.10. @resdatall @CSCfi @AaltoUniversity @tsv_media @IlmaTiede @helsinkiuni #P14 #RDAFinland2019 #RDAPlenary https://t.co/vFWP1xNgNj https://t.co/OUMdui7Eb7 0.9918072
5 enigmaticocean What is the impact of RDA outputs? Watch the new video, read RDA adoption stories, submit your own story and take the poll! https://t.co/tlKXdrKVpB #RDAplenary participants, join the Business and Outputs session at 4pm today to hear more… @resdatall https://t.co/k8k4qGmt4A 0.9918072
5 jezcope First proper culture shock moment for a poor Brit here in Philly. The hotel room has mugs, glasses, coffee, teabags, coffee maker, ice bucket and microwave. Can anyone tell me what’s missing? #RDAplenary https://t.co/7KTW1eInGB 0.9909541
5 jon_petters Drivers for NGDC to get @CoreTrustSeal- demonstrate their professionalism, consider the full data lifeycle, benchmark their processes and services, provide confidence to funders, and align to scientific publishers who are looking for this sort of trusted status #rdaplenary 0.9909541
5 resdatall #RDAplenary adoption panel: RDA Recommendations may not be ready for immediate consumption (adoption) and some tailoring for a specific context or community is usually needed. Changing the practices of communities to adopt an output or in relation to it, is also challenging! https://t.co/PhfmBYjqQF 0.9909541
5 LibrarPotter Can’t help but hear a historical echo to problematic aide in @TomOrrell86 ‘s point about lack of data protections for many African nations combined with so many organizations collecting data “in support of development” without regulation. #rdaplenary #rdaplenary13 0.9909541

Topic 6

topic screen_name text gamma
6 dnvln Dynamic data citation steps: 1) Data -> versioned (history w/ time stamps) ~Researcher creates working-set via some interface~ 2) Access -> store & assign PID to “QUERY,” enhanced with -time-stamping for re-execution -rewriting for normalization -hashing result set #RDAplenary 0.9940511
6 iGenomics

A survey of “Make Data Count” received 85 responses. 56% US, 32% Europe. 94% from a repository manager. 89% tracking data download, 66% tracking metadata. 54% receive requests for metrics. Tracking tools: Google Analytics, in-house tools, Matomo.

#rdaplenary #RDAPlenary13
0.9928224
6 phoebe_ayers Speaker at the software session at #rdaplenary talking about how the EU copyright reform just passed (which @wikimedia protested btw) will also adversely affect software development & archiving/distro platforms incld GitHub, Software Heritage. 0.9921761
6 asclnet Data science has the power to improve peoples lives and accelerate scientific discovery… but data science also has the power to harm; examples include online price discrimination (Staples), delivery service areas (Amazon)… #RDAPlenary 0.9921761
6 natalieharrower Julia @stoyanoj is taking us so thoughtfully and intelligently through discussions of bias relevant to our current data-driven era, circling back to considerations of individual vs. collective, and what used to be called ‘affirmative action’. Tough and nuanced topic. #RDAPlenary 0.9921761
6 asclnet Responsible data science requires a holistic view of the data lifecycle, which is on a lovely slide that I’m sure someone else will capture and tweet out (I hope I hope). NSF is working on systems support for responsible data science and responsibility by design. #rdaplenary 0.9921761
6 sjDCC Phew… it is worth packing to go to #RDAplenary tomorrow! Had a panic this afternoon after hearing about declined estas & realising I still hadn’t got round to purchasing mine c.15hrs before flying. Luckily it was approved in time it took to have a pint. Timezone in my favour! 0.9918072
6 natalieharrower Algorithms are deeply vulnerable to bias - we need transparency, regulation, and civic engagement for responsible data science. Keynote by @stoyanoj reminds us why @resdatall’s goals of data sharing (and all the steps to get us there) are deeply important for society #RDAPlenary 0.9918072
6 asclnet And now “On the EU Copyright Reform” by @rdicosmo Copyright law evolution has challenges for software… if a service accepts deposits from users must have effective content recognition technologies, meaning able to detect whether what is deposited is copyrighted. #rdaplenary 0.9914017
6 RDA_Europe “We are Data, Responsibly. We study the foundations of responsible data science and build tools that translate our insights into data science practice.” Check @stoyanoj’s course on Responsible Data Science #RDAplenary. https://t.co/kcEXcfG2Nz 0.9914017

Session info

##  setting  value                       
##  version  R version 3.3.2 (2016-10-31)
##  system   x86_64, darwin13.4.0        
##  ui       X11                         
##  language (EN)                        
##  collate  en_AU.UTF-8                 
##  tz       <NA>                        
##  date     2019-04-04                  
## 
##  package      * version date       source        
##  assertthat     0.2.0   2017-04-11 CRAN (R 3.3.2)
##  backports      1.0.5   2017-01-18 cran (@1.0.5) 
##  bindr          0.1.1   2018-03-13 CRAN (R 3.3.2)
##  bindrcpp     * 0.2     2017-06-17 CRAN (R 3.3.2)
##  broom          0.4.2   2017-02-13 CRAN (R 3.3.2)
##  cli            1.0.1   2018-09-25 CRAN (R 3.3.2)
##  colorspace     1.3-2   2016-12-14 CRAN (R 3.3.2)
##  crayon         1.3.4   2017-09-16 CRAN (R 3.3.2)
##  curl           2.3     2016-11-24 CRAN (R 3.3.2)
##  devtools       1.12.0  2016-06-24 CRAN (R 3.3.0)
##  digest         0.6.12  2017-01-27 CRAN (R 3.3.2)
##  dplyr        * 0.7.4   2017-09-28 CRAN (R 3.3.2)
##  evaluate       0.10    2016-10-11 cran (@0.10)  
##  fansi          0.4.0   2018-10-05 CRAN (R 3.3.2)
##  farver         1.0     2018-09-17 CRAN (R 3.3.2)
##  forcats      * 0.2.0   2017-01-23 CRAN (R 3.3.2)
##  foreign        0.8-67  2016-09-13 CRAN (R 3.3.2)
##  ggforce        0.1.1   2016-11-28 CRAN (R 3.3.2)
##  ggplot2      * 3.0.0   2018-07-03 CRAN (R 3.3.2)
##  ggraph       * 1.0.2   2018-07-07 CRAN (R 3.3.2)
##  ggrepel      * 0.7.0   2017-09-29 CRAN (R 3.3.2)
##  glue           1.3.0   2018-07-17 CRAN (R 3.3.2)
##  gridExtra      2.2.1   2016-02-29 cran (@2.2.1) 
##  gtable         0.2.0   2016-02-26 CRAN (R 3.3.0)
##  here         * 0.1     2017-05-28 CRAN (R 3.3.2)
##  highr          0.6     2016-05-09 cran (@0.6)   
##  htmltools      0.3.5   2016-03-21 cran (@0.3.5) 
##  httr           1.3.1   2017-08-20 CRAN (R 3.3.2)
##  igraph       * 1.1.2   2017-07-21 CRAN (R 3.3.2)
##  janeaustenr    0.1.5   2017-06-10 CRAN (R 3.3.2)
##  jsonlite       1.2     2016-12-31 CRAN (R 3.3.2)
##  knitr        * 1.20    2018-02-20 CRAN (R 3.3.2)
##  labeling       0.3     2014-08-23 CRAN (R 3.3.0)
##  lattice        0.20-34 2016-09-06 CRAN (R 3.3.2)
##  lazyeval       0.2.0   2016-06-12 CRAN (R 3.3.0)
##  lubridate    * 1.6.0   2016-09-13 CRAN (R 3.3.0)
##  magrittr       1.5     2014-11-22 CRAN (R 3.3.0)
##  MASS           7.3-45  2016-04-21 CRAN (R 3.3.2)
##  Matrix         1.2-7.1 2016-09-01 CRAN (R 3.3.2)
##  memoise        1.0.0   2016-01-29 CRAN (R 3.3.0)
##  mnormt         1.5-5   2016-10-15 CRAN (R 3.3.0)
##  modeltools     0.2-22  2018-07-16 CRAN (R 3.3.2)
##  munsell        0.5.0   2018-06-12 CRAN (R 3.3.2)
##  nlme           3.1-128 2016-05-10 CRAN (R 3.3.2)
##  NLP            0.1-11  2017-08-15 CRAN (R 3.3.2)
##  openssl        0.9.6   2016-12-31 CRAN (R 3.3.2)
##  pillar         1.3.0   2018-07-14 CRAN (R 3.3.2)
##  pkgconfig      2.0.2   2018-08-16 CRAN (R 3.3.2)
##  plyr           1.8.4   2016-06-08 CRAN (R 3.3.0)
##  psych          1.6.12  2017-01-08 CRAN (R 3.3.2)
##  purrr          0.2.2   2016-06-18 CRAN (R 3.3.0)
##  R6             2.3.0   2018-10-04 CRAN (R 3.3.2)
##  RColorBrewer * 1.1-2   2014-12-07 CRAN (R 3.3.0)
##  Rcpp           0.12.19 2018-10-01 CRAN (R 3.3.2)
##  reshape2       1.4.2   2016-10-22 CRAN (R 3.3.0)
##  rlang          0.2.2   2018-08-16 CRAN (R 3.3.2)
##  rmarkdown      1.10    2018-06-11 CRAN (R 3.3.2)
##  rprojroot      1.2     2017-01-16 cran (@1.2)   
##  rtweet       * 0.6.8   2018-09-28 CRAN (R 3.3.2)
##  scales         0.5.0   2017-08-24 CRAN (R 3.3.2)
##  slam           0.1-40  2016-12-01 CRAN (R 3.3.2)
##  SnowballC      0.5.1   2014-08-09 CRAN (R 3.3.0)
##  stringi        1.2.4   2018-07-20 CRAN (R 3.3.2)
##  stringr        1.3.1   2018-05-10 CRAN (R 3.3.2)
##  tibble         1.4.2   2018-01-22 CRAN (R 3.3.2)
##  tidyr        * 0.6.1   2017-01-10 CRAN (R 3.3.2)
##  tidytext     * 0.2.0   2018-10-17 CRAN (R 3.3.2)
##  tm             0.7-5   2018-07-29 CRAN (R 3.3.2)
##  tokenizers     0.1.4   2016-08-29 CRAN (R 3.3.0)
##  topicmodels  * 0.2-7   2017-11-03 CRAN (R 3.3.2)
##  tweenr         1.0.0   2018-09-27 CRAN (R 3.3.2)
##  units          0.6-1   2018-09-21 CRAN (R 3.3.2)
##  utf8           1.1.4   2018-05-24 CRAN (R 3.3.2)
##  viridis      * 0.5.1   2018-03-29 CRAN (R 3.3.2)
##  viridisLite  * 0.3.0   2018-02-01 CRAN (R 3.3.2)
##  withr          2.1.2   2018-03-15 CRAN (R 3.3.2)
##  wordcloud    * 2.5     2014-06-13 CRAN (R 3.3.0)
##  xml2           1.1.1   2017-01-24 CRAN (R 3.3.2)
##  yaml           2.1.14  2016-11-12 cran (@2.1.14)